📄 demtrain.htm
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<html><head><title>Netlab Reference Manual demtrain</title></head><body><H1> demtrain</H1><h2>Purpose</h2>Demonstrate training of MLP network.<p><h2>Synopsis</h2><PRE>demtrain</PRE><p><h2>Description</h2><CODE>demtrain</CODE> brings up a simple GUI to show the training ofan MLP network on classification and regression problems. The usershould load in a dataset (which should be in Netlab format: see <CODE>datread</CODE>), select the output activation function, the number of cycles and hidden units and thentrain the network. The scaled conjugate gradient algorithm is used.A graph shows the evolution of the error: the value is shown <CODE>max(ceil(iterations / 50), 5)</CODE> cycles.<p>Once the network is trained, it is saved to the file <CODE>mlptrain.net</CODE>.The results can then be viewed as a confusion matrix (for classificationproblems) or a plot of output versus target (for regression problems).<p><h2>See Also</h2><CODE><a href="confmat.htm">confmat</a></CODE>, <CODE><a href="datread.htm">datread</a></CODE>, <CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="netopt.htm">netopt</a></CODE>, <CODE><a href="scg.htm">scg</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)</body></html>⌨️ 快捷键说明
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